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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Over the last three decades, p21-activated kinases (PAKs) have emerged as prominent intracellular nodular signaling molecules in cancer cells with a spectrum of cancer-promoting functions ranging from cell survival to anchorage-independent growth to cellular invasiveness. As PAK family members are widely overexpressed and/or hyperactivated in a variety of human tumors, over the years PAKs have also emerged as therapeutic targets, resulting in the development of clinically relevant PAK inhibitors. Over the last two decades, this has been a promising area of active investigation for several academic and pharmaceutical groups. Similar to other kinases, blocking the activity of one PAK family member leads to compensatory activity on the part of other family members. Because PAKs are also activated by stress-causing anticancer drugs, PAKs are components in the rewiring of survival pathways in the action of several therapeutic agents; in turn, they contribute to the development of therapeutic resistance. This, in turn, creates an opportunity to co-target the PAKs to achieve a superior anticancer cellular effect. Here we discuss the role of PAKs and their effector pathways in the modulation of cellular susceptibility to cancer therapeutic agents and therapeutic resistance.

Details

Title
Hyperactivation of p21-Activated Kinases in Human Cancer and Therapeutic Sensitivity
Author
Sankaran, Deivendran 1 ; Amjesh, Revikumar 2   VIAFID ORCID Logo  ; Aswathy, Mary Paul 3 ; Bijesh George 3 ; Kala, Rajat 4 ; Saini, Sunil 4 ; Kumar, Rakesh 5 

 Signal Transduction and Molecular Pharmacology, The Institute of Cancer Research, London SW7 3RP, UK 
 Centre for Integrative Omics Data Science, Yenepoya (Deemed to be) University, Mangalore 578018, India 
 Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram 695014, India 
 Cancer Research Institute, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University, Dehradun 248016, India 
 Cancer Research Institute, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University, Dehradun 248016, India; Department of Medicine-Hematology and Oncology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA; Department of Human and Molecular Genetics, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA 
First page
462
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
22279059
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2779524775
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.